Methods and systems for evaluating and generating anomaly detectors

Abstract

Methods, systems, and processor readable medium for selecting an anomaly detector for a system, including: generating an anomaly detector (AD) candidate population by characterizing AD candidates by one or more system parameters and system attributes (collectively herein, “system attributes”); training the AD candidate population using non-anomaly data associated with the system and the system attribute(s); evaluating the AD candidate population based on applying non-anomaly and anomaly data associated with the system to the AD candidate population; and, based on at least one search criterion, performing at least one of (i) selecting an AD candidate from the AD population; and, (ii) modifying the AD candidate population and iteratively returning to training the AD candidate population.

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